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Recognition method of foreign body in grain pile

An identification method and foreign object technology, applied in the field of electromagnetic wave detection, can solve problems such as classification, inaccurate classification, and inability to carry out multiple targets, and achieve the effect of improving efficiency and simplifying the process of foreign object identification

Inactive Publication Date: 2012-11-14
HENAN UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0007] The purpose of the present invention is to provide a method for identifying foreign matter in grain piles, which is used to solve the problems of large interference, inaccurate classification and inability to classify multiple objects in the prior art

Method used

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  • Recognition method of foreign body in grain pile
  • Recognition method of foreign body in grain pile
  • Recognition method of foreign body in grain pile

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specific Embodiment approach

[0032] Below in conjunction with accompanying drawing, the present invention is described in further detail, and specific implementation is as follows:

[0033] 1. Perform image preprocessing on the recorded GPR profiles. Including random noise suppression, direct wave and radio frequency interference suppression, antenna direct coupling wave suppression, signal-to-noise ratio improvement and image enhancement, etc. The original ground penetrating radar map such as figure 1 As shown, it can be seen that the hyperbola in the middle of the image near the top indicates the foreign object that needs to be detected, the bright bar above the image indicates the reflected wave from the grain surface (called the direct wave), and the bright bar at the bottom of the mesh structure indicates that it is buried in the floor steel mesh in. It can be seen that in addition to the GPR echo images of foreign objects to be detected in the original GPR image, there are also a large number of n...

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Abstract

The invention relates to a recognition method of foreign bodies in a grain pile, which is used for solving the problems of large interference, inaccurate classification and incapability of classifying multiple targets in the prior art. The method comprises the following steps of: firstly positioning a foreign body target in a ground penetrating radar map by utilizing an image processing technology and a Hough transformation method, then carrying out multilayer single-channel inversion on a dielectric constant on the channel where the foreign body target is positioned on the basis of refraction and refection laws, and finally determining the kind of the foreign body according to the dielectric constant subjected to the multilayer single-channel inversion and the corresponding relation of the dielectric constant and the common foreign body to realize the recognition of the foreign body. The method only needs echo amplitude information and does not need echo phase information, so that the algorithm is more easy to realize. Meanwhile, because of the difference of the dielectric constants of different kinds of objects, the method is more accurate for classifying and recognizing the foreign bodies and can simultaneously classify different kinds of foreign bodies in the same area.

Description

technical field [0001] The invention relates to a field of electromagnetic wave detection, in particular to a technology for identifying and classifying multiple abnormal targets (foreign objects) inside a large grain pile by using the electromagnetic wave detection technology. Background technique [0002] At present, in the field of electromagnetic wave detection, the main processing methods for identifying targets inside the medium include imaging recognition and feature variable recognition. Imaging processing obtains the geometric characteristics of the target object by processing the echo signals of multiple sections, so as to distinguish the target according to the geometric characteristics (mainly the shape). That is to judge whether there is a target object from the presented two-dimensional and three-dimensional images, and if there is a target object, determine the position and shape of the target object from the image. In an ideal situation, using an effective g...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/22
Inventor 张元钱向明廉飞宇张德贤甄彤管爱红
Owner HENAN UNIVERSITY OF TECHNOLOGY
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